gpuoftensorflow.py

import tensorflow as tf

#tf.config.list_physical_devices('GPU')
mnist = tf.keras.datasets.mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
model = tf.keras.models.Sequential([
  tf.keras.layers.Flatten(input_shape=(28, 28)),
  tf.keras.layers.Dense(128, activation='relu'),
  tf.keras.layers.Dropout(0.2),
  tf.keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'])
model.fit(x_train, y_train, epochs=5)
model.evaluate(x_test,  y_test, verbose=2)
"""
2024-11-10 14:59:59.323938: I external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:454] Loaded cuDNN version 8901
WARNING: All log messages before absl::InitializeLog() is called are written to STDERR
I0000 00:00:1731221999.453340  117890 device_compiler.h:186] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.
"""